Triple

T3779668
Position Surface form Disambiguated ID Type / Status
Subject Anne Bradstreet E83389 entity
Predicate literaryTheme P16928 FINISHED
Object Providence E30905 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Providence | Statement: [Anne Bradstreet, literaryTheme, Providence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Providence
Context triple: [Anne Bradstreet, literaryTheme, Providence]
  • A. Providence chosen
    Providence is the capital and most populous city of Rhode Island, known for its historic architecture, prominent universities, and role as a cultural and economic center in New England.
  • B. Providence
    Providence is a small rural town in Saratoga County, New York, known for its forests, lakes, and Adirondack foothills setting.
  • C. Pawtucket
    Pawtucket is an industrial city in northeastern Rhode Island known historically as a birthplace of the American Industrial Revolution.
  • D. Hartford (Providence)
    Hartford is a neighborhood in the city of Providence, Rhode Island, known as a residential area within Providence County.
  • E. Hartford
    Hartford is the capital city of Connecticut and a historic center of insurance, government, and culture in the northeastern United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc7948848190adc96b0513bd5c97 completed March 8, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd6786a558819098973b8f10b7e7cb completed March 20, 2026, 3:28 p.m.
Created at: March 8, 2026, 3:36 p.m.